Ambiguity Resolution in Language Learning: Computational and by Hinrich Schütze

By Hinrich Schütze

This quantity is worried with how ambiguity and ambiguity solution are discovered, that's, with the purchase of different representations of ambiguous linguistic types and the information worthy for choosing between them in context. Schütze concentrates on how the purchase of ambiguity is feasible in precept and demonstrates that exact kinds of algorithms and studying architectures (such as unsupervised clustering and neural networks) can be triumphant on the job. 3 sorts of lexical ambiguity are handled: ambiguity in syntactic categorisation, semantic categorisation, and verbal subcategorisation. the amount provides 3 diverse versions of ambiguity acquisition: Tag area, observe area, and Subcat Learner, and addresses the significance of ambiguity in linguistic illustration and its relevance for linguistic innateness.

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The ... paperback pairs photographs of celebrities that underscore striking, if unlikely, similarities in appearance. (13 June 1990) c. And advocates of change are again calling openly, if delicately, for price liberalization ... (2 June 1990) d. and, if so, who will serve on the five-member city council. (4 June 1990) e. Now it's Marshall who wants to be traded; or, if not, then he says he'll ... leave as a free agent ... 6 This idiosyncratic difference between "if" and "because" is clearly specific to English and not part of innate universal grammar.

If these conditions are true, then the semantic bootstrapping hypothesis can be applied to the problem of how rules incorporating that symbol are first acquired: the child can use the phenomenon that includes the perceptually available notion as the inductive basis for the symbol in question, expecting the rest of the phenomena involving that symbol to follow [... ] (1984:45) Condition (1) guarantees that the symbol in question can be identified in the language to be learned. If the symbol had only idiosyncratic uses in this language, then the child would not know about those uses prior to syntax acquisition.

Condition (2) is the heart of semantic bootstrapping: semantic properties are crucial in linking the internal symbol to the SYNTACTIC CATEGORIZATION / 21 outside world. Examples of salient semantic properties are reference to physical objects by nouns and reference to physical actions by verbs (1984:39). Condition (3) ensures that the symbol is actually used with one of its semantic properties in adult-to-child speech. , grammar-internal knowledge). It is unclear whether the first type of knowledge is necessary.

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